GilpinLab / dystsLinks
Hundreds of strange attractors
☆496Updated last month
Alternatives and similar repositories for dysts
Users that are interested in dysts are comparing it to the libraries listed below
Sorting:
- A Python package for probabilistic state space modeling with JAX☆876Updated 3 months ago
- Patched Attention for Nonlinear Dynamics☆159Updated last month
- ☆373Updated 4 years ago
- A Python library for amortized Bayesian workflows using generative neural networks.☆614Updated 2 weeks ago
- Gaussian processes in JAX and Flax.☆548Updated this week
- ☆67Updated last year
- Uncertainty quantification with PyTorch☆375Updated 3 weeks ago
- ☆178Updated 3 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆481Updated last week
- Structural Time Series in JAX☆200Updated last year
- Compositional Linear Algebra☆490Updated 3 months ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆37Updated 2 years ago
- The tiniest of Gaussian Process libraries☆323Updated 3 weeks ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆221Updated last year
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆454Updated last month
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆177Updated 10 months ago
- Probabilistic Numerics in Python.☆459Updated 3 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆209Updated 2 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆487Updated 2 months ago
- Lagrangian Neural Networks☆517Updated last month
- A projection-based framework for gradient-free and parallel learning☆106Updated 4 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆961Updated 2 weeks ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆745Updated last week
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆284Updated 3 years ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆173Updated 2 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆146Updated 3 months ago
- Code for the book "The Elements of Differentiable Programming".☆273Updated 4 months ago
- Code for the paper "Next Generation Reservoir Computing"☆185Updated 4 years ago
- Turn SymPy expressions into trainable JAX expressions.☆352Updated 6 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆458Updated last year